Learn IT - Books tags graph

gnuplot Cookbook

Packt Publishing, 2012

gnuplot is a free, open source plotting program that has been in wide use since 1986. It's used as the graphics backend by many other programs, so plenty of people use gnuplot without knowing it. If you've used Octave, Maxima, statist, gretl, or the Emacs graphing calculator, you've already used gnuplot.

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Topographical Tools for Filtering and Segmentation 1: Watersheds on Node- or Edge-weighted Graphs (Digital Signal and Image Processing)

John Wiley & Sons, 2019

Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description of these tools.

Volume 1 is devoted to watersheds. The...

Modern Operating Systems

Prentice Hall, 1992

For software development professionals and computer science students, Modern Operating Systems gives a solid conceptual overview of operating system design, including detailed case studies of Unix/Linux and Windows 2000.

What makes an operating system modern? According to author Andrew Tanenbaum, it is the awareness of high-demand...

Hadoop Real World Solutions Cookbook

Packt Publishing, 2013

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

Solutions to common problems when working in the Hadoop...

Spatio-temporal Networks: Modeling and Algorithms (SpringerBriefs in Computer Science)

Springer, 2012

Spatio-temporal networks (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must...

Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (Princeton Series in Applied Mathematics)

Princeton Press, 2009

This book covers its subject very thoroughly. The framework the authors have established is very elegant and, if it catches on, this book could be the primary reference for this approach. I don't know of any other book that covers this set of topics.
(Richard M. Murray, California Institute of Technology )

This...

Semantic Web for the Working Ontologist, Second Edition: Effective Modeling in RDFS and OWL

Morgan Kaufmann, 2011

Since the first edition of Semantic Web for the Working Ontologist came out in June 2008, we have been encouraged by the reception the book has received. Practitioners from a wide variety of industries— health care, energy, environmental science, life sciences, national intelligence, and publishing, to name a few—have told...

Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011

Springer, 2011

Over the last few decades, energy minimization methods have become an established paradigm to resolve a variety of challenges in the fields of computer vision and pattern recognition. While traditional approaches to computer vision were often based on a heuristic sequence of processing steps and merely allowed a very limited...

Network Security Through Data Analysis: Building Situational Awareness

O'Reilly, 2014

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what...

Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Morgan and Claypool Publishers, 2013

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and...

Applied Graph Theory in Computer Vision and Pattern Recognition (Studies in Computational Intelligence)

Springer, 2007

This book will serve as a foundation for a variety of useful applications of graph theory to computer vision, pattern recognition, and related areas. It covers a representative set of novel graph-theoretic methods for complex computer vision and pattern recognition tasks. The first part of the book presents the application of graph theory to...

Hybrid Methods in Pattern Recognition

Wordware Publishing, 2002

The discipline of pattern recognition has seen enormous progress since its beginnings more than four decades ago. Over the years various approaches have emerged, based on statistical decision theory, structural matching and parsing, neural networks, fuzzy logic, artificial intelligence, evolutionary computing, and others. Obviously, these...

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